Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 35.5 * weight - 2039
This means that on average for every extra kilogram weight a rider loses 35.5 positions in the result.
Schür
3
74 kgKoslar
4
69 kgGilson
7
70 kgMitteregger
990
68 kgBurkhard
990
75 kgHumenberger
990
73 kg
3
74 kgKoslar
4
69 kgGilson
7
70 kgMitteregger
990
68 kgBurkhard
990
75 kgHumenberger
990
73 kg
Weight (KG) →
Result →
75
68
3
990
# | Rider | Weight (KG) |
---|---|---|
3 | SCHÜR Fritz | 74 |
4 | KOSLAR Dieter | 69 |
7 | GILSON Roger | 70 |
990 | MITTEREGGER Rudolf | 68 |
990 | BURKHARD Ebert | 75 |
990 | HUMENBERGER Roman | 73 |